A hybrid setup for a hybrid scenario: combining heuristics for the home health care problem

By Stefan Bertels, Torsten Fahle. Computers & Operations Research, 2006

362 citations recorded by the source corpus.

Subfields: Automotive Engineering, Industrial and Manufacturing Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/8781330e6e7d2b4f75c2b8753b43ec90251211a1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Christian Bierwirth
2. Abdur Rais
3. Ana Viana

In Industrial and Manufacturing Engineering

1. Frank Meisel
2. Christian Bierwirth
3. Tor Justesen
4. Jesper Bach Larsen
5. Dorota Slawa Mankowska
6. Anders Dohn
7. Abdur Rais
8. Matias Sevel Rasmussen

In Management Science and Operations Research

1. Tor Justesen
2. Jesper Bach Larsen
3. Christian Bierwirth
4. Dorota Slawa Mankowska
5. Anders Dohn
6. Frank Meisel
7. Abdur Rais
8. Matias Sevel Rasmussen

Citations in the corpus

• The home health care routing and scheduling problem with interdependent services (2013, background): “Bertels and Fahle [3] propose to combine linear programming, constraint programming and metaheuristics for solving an HHCRSP. Bräysy et al. [6] consider a case study for home care services from Finland.”
• Operations Research in Healthcare: a survey (2011, result): “Along a similar line of research, Bertels and Fahle (2006) considered the problem of home healthcare and nursing; i.e., visiting and nursing patients in their homes.”
• The Home Care Crew Scheduling Problem: Preference-based visit clustering and temporal dependencies (2012, background): “Bertels and Fahle (2006) use a combination of linear programming, constraint programming and metaheuristics for solving what they call the Home Health Care Problem.”